Jobs at Tempo Software

Own the full sales cycle for SMB customers, including prospecting, lead qualification, product demonstrations, consultative selling, pipeline and CRM management, contract negotiation, closing, and relationship development. Partner with internal teams on onboarding and customer success while identifying retention and upsell opportunities. Monitor market trends, competitors, and industry developments to achieve sales targets.

Own the strategy, roadmap, adoption, retention, and revenue for Tempo Workforce Intelligence, an AI-powered enterprise product. Lead customer discovery, experimentation, attribution and reporting, agent governance, benchmarking, integrations, instrumentation, and commercial planning. Partner with engineering, design, sales, marketing, customer success, finance, and executives to turn ambiguous customer problems into validated product decisions and measurable business outcomes.

Manage the full sales cycle from prospecting and lead qualification through closing and account growth. Conduct product demonstrations, maintain pipeline and CRM records, negotiate contracts, meet sales quotas, and build long-term customer relationships. Collaborate with internal teams on onboarding and customer success while monitoring market and competitor trends.

Own the full lifecycle, security, compliance, and support of company endpoints across macOS, Windows, Linux, and mobile devices. Administer UEM and Okta, deliver escalated IT support through Jira Service Management, manage onboarding and offboarding, maintain asset records, enforce endpoint security controls, automate provisioning and triage with AI, and partner with Information Security on audits, access reviews, and least-privilege policies.

Own product marketing for Tempo’s Atlassian Marketplace suite and connect multiple products to its flagship platform and Strategic Portfolio Management narrative. Develop multi-product messaging, persona and industry positioning, pricing and packaging support, PLG go-to-market programs, launch frameworks, sales enablement, competitive materials, and growth campaigns. Partner with Product, Finance, Growth, and Partner Marketing, conduct customer research, influence roadmaps, and use AI tools to improve research and content workflows.

Leads an enterprise sales team responsible for revenue, quotas, forecasting, pipeline management, hiring, coaching, and performance management. Sets sales strategy and business plans, partners with marketing on lead generation, analyzes market and competitor trends, reports performance to senior leadership, and resolves escalated customer issues. The role also supports productivity and forecasting through AI tools.

Own product marketing for Tempo’s enterprise Strategic Portfolio Management and AI-native platform. Develop persona- and industry-specific messaging, positioning, narratives, launches, go-to-market programs, sales enablement, competitive materials, and partner marketing. Partner with Product, Finance, Sales, Growth, and Partner Marketing teams on pricing, campaigns, customer research, launch frameworks, and roadmap influence. Use AI tools to improve research, analysis, content production, and marketing workflows.

Lead the product strategy for Loop's Competitive Intelligence module, integrating external intelligence into strategic portfolio decisions, and collaborating with cross-functional teams to enhance competitive positioning.

Lead full-funnel, multi-channel growth campaigns from strategy through execution. Manage planning, targeting, creative collaboration, marketing automation, performance analysis, and agency partnerships to drive awareness, engagement, and revenue growth across the funnel.

Drive new and expansion enterprise sales for Tempo's Atlassian-integrated products. Qualify opportunities, build pipeline, partner with solutions partners and pre-sales, negotiate contracts, manage accounts in Salesforce, and expand product adoption across large customers while supporting pricing, go-to-market, and customer success.

The Senior Analytics Engineer will build and maintain data foundations for corporate reporting, translating business requirements into data models, ensuring consistent metric definitions and investigating data discrepancies for reliable reporting.